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[Purpose] In order to address the problems of the conventional fuzzy control caused by excessive reliance on empirical knowledge in energy management strategies for fuel cell ships, [Method] a fuzzy control strategy based on decision tree optimization is proposed. The topological structure of the hybrid electric propulsion system that consists of a fuel cell and a lithium battery is determined, and the full-voyage operating conditions of the electric propulsion ship are selected. Cluster analysis is then employed to divide the fuzzy subset rules using the offline global optimal energy allocation scheme determined by the Dynamic Programming algorithm. [Result] A decision tree is used to optimize the fuzzy controller rules, followed by simulation analysis and computational evaluation. Simulation results show that the fuzzy control energy management strategy optimized by the decision tree reduces hydrogen consumption by 10.75% compared to the unoptimized strategy, resulting in a consumption of 142.28 g. [Conclusion] The proportion of fuel cell operation within the high-efficiency range increases by 27.9%, enhancing both economic efficiency and operational stability while maintaining system responsiveness.
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Basic Information:
DOI：10.13788/j.cnki.cbgc.2026.08.03
China Classification Code:U664.82
Citation Information:
[1]LI Jia,ZHANG Muyuan,ZHU Ziwen.Fuzzy Control Energy Management Strategy of Fuel Cell Ship Based on Decision Tree Optimization[J].Ship Engineering,2026,48(08):31-38.DOI:10.13788/j.cnki.cbgc.2026.08.03.
2026-08-25
2026-08-25